The Journal of Korean Institute of Electromagnetic Engineering and Science (한국전자파학회논문지)

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
권호 표지
DOI QR코드

DOI QR Code

Performance Improvement for 2-D Scattering Center Extraction and ISAR Image Formation for a Target in Radar Target Recognition

레이다 표적 인식에서 표적에 대한 2차원 산란점 추출 및 ISAR 영상 형성에 대한 성능 개선

  • Shin, Seung-Yong (Department of Electrical Engineering & Computer Science, KAIST) ;
  • Lim, Ho (Department of Electrical Engineering & Computer Science, KAIST) ;
  • Myung, Noh-Hoon (Department of Electrical Engineering & Computer Science, KAIST)
  • 신승용 (한국과학기술원 전자전산학과) ;
  • 임호 (한국과학기술원 전자전산학과) ;
  • 명로훈 (한국과학기술원 전자전산학과)
  • Published : 2007.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

This paper presents techniques of 2-D scattering center extraction and 2-B ISAR(Inverse SAR) image formation for scattering wave which is scattered by a target. In general, 2-D IFFT is widely used to obtain 2-D scattering center and ISAR image of targets. But, this method has drawbacks, that is poor in a resolution aspect. To overcome these shortcomings with the FT(Fourier Transform)-based method, various techniques of high resolution signal processing were developed. In this paper, algorithms of 2-D scattering center extraction and ISAR image formation such as 2-D MEMP(Matrix Enhancement and Matrix Pencil), 2-D ESPRIT(Estimation of Signal Parameter via Rotational Invariance Techniques) are described. In order to show the performances of each algorithm, we use scattering wave of the ideal point scatterers and F-18 aircraft to estimate 2-D scattering center and abtain 2-D ISAR image.

본 논문에서는 표적에 의해서 산란된 산란파에 대한 2차원 산란점 추출 및 2차원 ISAR(Inverse SAR) 영상 형성에 대해서 기술하였다. 표적 에 대 한 2차원 산란점과 ISAR 영상을 획득하는 방법에는 일반적으로 2-D IFFT(Inverse Fast Fourier Transform)가 널리 사용되고 있다. 그러나 이는 영상의 해상도 면에서 질이 떨이진다는 단점이 있다. 이러한 퓨리에 변환을 바탕으로 한 방법의 단점을 보완하기 위해서 여러 가지 고해상도 신호처리의 방법이 개발되어 왔다. 본 논문에서는 2차원 산란점 추출 및 ISAR 영상을 형성하기 위해서 2-D MEMP 알고리즘과 2-D ESPRIT 알고리즘에 대해서 기술하고 있다. 이러한 각 알고리즘에 대한 성능을 나타내기 위해서 이상적인 점 산란체와 F-18 전투기에 대한 산란파를 이용하여 2차원 산란점을 예측하고 2차원 ISAR 영상을 획득하였다.

Keywords

References

  1. L. C. Potter, D. M. Chiang, R. Carriere, and Mi- chael J. Gerry, 'GTD-based parametric model for radar scattering', IEEE Trans. on Antennas and Propagation, vol. 43, no. 10, Oct. 1995
  2. I. J. Gupta, 'High-resolution radar imaging using 2-D linear prediction', IEEE Trans. on Antennas and Propagation, vol. 42, pp. 31-37 Jan. 1994 https://doi.org/10.1109/8.272298
  3. W. C. Chen, 'Identification of objects using complex resonances', The University of Queensland Thesis report, May 2003
  4. Y. Hua, T. K. Sarkar, 'On SVD for estimating generalized eigenvalues of sigular matirx pencil in noise', IEEE Trans. on Signal Processing, vol. 39, no. 4, Apr. 1991
  5. Y. Hua, 'Estimating two-dimensional frequencies by matrix enhancement and matrix pencil', IEEE Trans. on Signal Processing, vol. 40, no. 9, pp. 2267-2280, Sep. 1992 https://doi.org/10.1109/78.157226
  6. Y. Hua, E. Baqai, Y. Zhu, and D. Heilbronn, 'Imaging of point scatterers from step-frequency ISAR data', IEEE Trans. on Aerospace and Electronic Systems, vol. 29, no. 1, pp. 195-205, Jan. 1992
  7. Stephan Rouquette, Mohamed Najim, 'A new paring step the MEMP method', IEEE Conference Record of Thirty-first ASILOMAR Conference on Signal, System and Computer, vol. 2, pp. 1715-1719, 1998
  8. Stephan Rouquette, Mohamed Najim, 'Estimation of frequencies and damping factors by two-dimensio- nal ESPRIT type methods', IEEE Trans. on Signal Processing, vol. 49, no. 1, pp. 237-245, Jan. 2001 https://doi.org/10.1109/78.890367
  9. K. T. Kim, S. W. Kim, and H. T. Kim, 'Two-di- mensional ISAR imaging using full polarization and super resolution processing techniques', IEE Proceedings-Radar, Sonar, and Navigation, vol. 145, no. 4, Aug. 1998
  10. J. W. Odendaal, E. Barnard, and C. W. I. Pistorius, 'Two-dimensional superresolution radar imaging using the music algorithm', IEEE Trans. on Antennas and Propagation, vol. 42, pp. 1386-1391, Oct. 1994 https://doi.org/10.1109/8.320744